Title
		
		
			Fenomen zavisnosti od društvenih mreža kao javnozdravstveni problem i povezanost sa simptomima mentalnih poremećaja kod studenata
		
	
			Creator
		
		
			Jovanović, Tamara, 1984-
						 CONOR:
				32728167
					
	
			Copyright date
		
		
			2023
		
	
			Object Links
		
		
	
			Select license
		
		
			Autorstvo-Nekomercijalno-Bez prerade 3.0 Srbija (CC BY-NC-ND 3.0)
		
	
			License description
		
		
			Dozvoljavate samo preuzimanje i distribuciju dela, ako/dok se pravilno naznačava ime autora, bez ikakvih promena dela i bez prava komercijalnog korišćenja dela. Ova licenca je najstroža CC licenca. Osnovni opis Licence: http://creativecommons.org/licenses/by-nc-nd/3.0/rs/deed.sr_LATN. Sadržaj ugovora u celini: http://creativecommons.org/licenses/by-nc-nd/3.0/rs/legalcode.sr-Latn
		
	
			Language
		
		
			Serbian
		
	
			Cobiss-ID
		
		
	
			Theses Type
		
		
			Doktorska disertacija
		
	
			description
		
		
			 
Datum odbrane: 27.10.2023.
		
	
			Other responsibilities
		
		
			Academic Expertise 
		
		
			Medicinske nauke
		
	
			University
		
		
			Univerzitet u Nišu
		
	
			Faculty
		
		
			Medicinski fakultet
		
	
			Group
		
		
			Katedra za socijalnu medicinu i higijenu sa medicinskom ekologijom
		
	
				Alternative  title
			
			
				The phenomenon of social networks addiction as a public health problem and its connection with symptoms of mental disorders in students
			
		
				Publisher
			
			
				[T. M. Jovanović]
			
		
				Format
			
			
				123 lista
			
		
				description
			
			
				Biografija autora: list [124].
Bibliografija: list. 107-117
			
		
				description
			
			
				Social medicine
			
		
				Abstract ()
			
			
				The study included 1,400 randomly selected students. Symptoms of
depression, anxiety and stress were assessed using the DASS 42 scale.
Symptoms of excessive use of social networks were measured with
the Bergen Social Media Addiction Scale - BSMAS. Also, the
socioeconomic characteristics of the examined students are shown; as
well as different habits in terms of using the social networks
themselves and those of different lifestyles. The study was conducted
through a google forms electronic questionnaire. Statistical data
analysis included the application of descriptive tests, multiple linear
regression analysis, correlation tests and analytical parametric tests, as
well as binary logistic regression tests. Extremely high levels of
depressive symptoms were reported by 232 students (16.6%). Severe
and extremely severe anxiety symptoms were reported by 480
students (34.3%), while 420 (30.0%) students were exposed to
moderate, severe or extremely severe stress. It was found that the
symptoms of depression are more pronounced in students who 
consumed alcoholic beverages and psychoactive substances more
often during the pandemic. Anxiety symptoms were slightly more
pronounced in students who slept longer at night, consumed more
alcoholic beverages, especially during the pandemic, as well as in
students for whom social networks represented an adequate substitute
for the content that was denied during the pandemic. More frequent
consumption of alcoholic beverages during the pandemic, as well as
general consumption of psychoactive substances, proved to be a
significant predictor in all three models: for symptoms of depression,
for anxiety and increased stress, consequently. Of the six components
of addiction, the greatest predictor of whether the respondent has a
high level of depressive symptoms was the state of conflict, where the
odds ratio was OR=10.28. This shows that respondents with a higher
conflict component score have depressive symptoms 10.28 times
more often, all factors in the model being equal. It was observed that
symptoms of depression are also more common in patients with
severe withdrawal symptoms (OR=4.27), followed by mood
modification (OR=1.82) and with relapse (OR=1.49). Symptoms of
anxiety were, similarly to symptoms of depression, most present in
subjects with a conflicted state (OR=10.31), in those with withdrawal
symptoms (OR=6.83), and then in students with pronounced mood
changes (OR= 2.55). In creating adequate interventions aimed at
solving this problem, it should be borne in mind that the goal cannot
be complete weaning, but controlled and meaningful use of social
networks through the development of adequate skills and raising
awareness of possible risks to health and general well-being due to
excessive use. Bearing in mind the exceptional sensitivity of young
people during their studies, as well as the indicators that speak of the
growing trends of mental health disorders in this period, early
detection and timely treatment are of priority importance.
			
		
				Authors Key words
			
			
				sajtovi društvenih mreža; zavisnost; mentalno zdravlje; studenti
			
		
				Authors Key words
			
			
				social networking sites; addiction; mental health; students
			
		
				Classification
			
			
				613.86-057.875+316.774:004.738.5(043.3)
			
		
				Subject
			
			
				B680
			
		
				Subject
			
			
				S290
			
		
				Type
			
			
				Tekst
			
		
			Abstract ()
		
		
			The study included 1,400 randomly selected students. Symptoms of
depression, anxiety and stress were assessed using the DASS 42 scale.
Symptoms of excessive use of social networks were measured with
the Bergen Social Media Addiction Scale - BSMAS. Also, the
socioeconomic characteristics of the examined students are shown; as
well as different habits in terms of using the social networks
themselves and those of different lifestyles. The study was conducted
through a google forms electronic questionnaire. Statistical data
analysis included the application of descriptive tests, multiple linear
regression analysis, correlation tests and analytical parametric tests, as
well as binary logistic regression tests. Extremely high levels of
depressive symptoms were reported by 232 students (16.6%). Severe
and extremely severe anxiety symptoms were reported by 480
students (34.3%), while 420 (30.0%) students were exposed to
moderate, severe or extremely severe stress. It was found that the
symptoms of depression are more pronounced in students who 
consumed alcoholic beverages and psychoactive substances more
often during the pandemic. Anxiety symptoms were slightly more
pronounced in students who slept longer at night, consumed more
alcoholic beverages, especially during the pandemic, as well as in
students for whom social networks represented an adequate substitute
for the content that was denied during the pandemic. More frequent
consumption of alcoholic beverages during the pandemic, as well as
general consumption of psychoactive substances, proved to be a
significant predictor in all three models: for symptoms of depression,
for anxiety and increased stress, consequently. Of the six components
of addiction, the greatest predictor of whether the respondent has a
high level of depressive symptoms was the state of conflict, where the
odds ratio was OR=10.28. This shows that respondents with a higher
conflict component score have depressive symptoms 10.28 times
more often, all factors in the model being equal. It was observed that
symptoms of depression are also more common in patients with
severe withdrawal symptoms (OR=4.27), followed by mood
modification (OR=1.82) and with relapse (OR=1.49). Symptoms of
anxiety were, similarly to symptoms of depression, most present in
subjects with a conflicted state (OR=10.31), in those with withdrawal
symptoms (OR=6.83), and then in students with pronounced mood
changes (OR= 2.55). In creating adequate interventions aimed at
solving this problem, it should be borne in mind that the goal cannot
be complete weaning, but controlled and meaningful use of social
networks through the development of adequate skills and raising
awareness of possible risks to health and general well-being due to
excessive use. Bearing in mind the exceptional sensitivity of young
people during their studies, as well as the indicators that speak of the
growing trends of mental health disorders in this period, early
detection and timely treatment are of priority importance.
		
	
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